Improving Computer-Aided Thoracic Disease Diagnosis through Comparative Analysis Using Chest X-ray Images Taken at Different Times

Improving Computer-Aided Thoracic Disease Diagnosis through Comparative Analysis Using Chest X-ray Images Taken at Different Times

Medical professionals in thoracic medicine routinely analyze chest X-ray images, often comparing pairs of images taken at different times to detect lesions or anomalies in patients. This research aims to design a computer-aided diagnosis system that enhances the efficiency of thoracic physicians in...

Full description

Bibliographic Details
Main Authors: Sung-Nien Yu, Meng-Chin Chiu, Yu Ping Chang, Chi-Yen Liang, Wei Chen
Format: Article
Language:English
Published: MDPI AG 2024-02-01
Series:Sensors
Subjects:
lung disease
chest X-ray image
image segmentation
image alignment
deep learning
Online Access:https://www.mdpi.com/1424-8220/24/5/1478

Internet

https://www.mdpi.com/1424-8220/24/5/1478

Similar Items